GenAI Full Stack Engineer
1 week ago
Job Title:
Full Stack engineer with GenAI
Location:
Palo Alto, CA – 3 Days Onsite
Note:
Full Stack engineer with experience in building AI agents and has good understanding of ETL and Integrations
Experience Required:
Be passionate about building secure, scalable AI infrastructure that enables enterprises to safely harness the power of intelligent agents.
- BS/MS/PhD in Computer Science or related field
— with a strong foundation in systems, distributed computing, or security. - Proficient in building applications across any with Python, React
- Experience building AI agents on Google ADK (preferred) or similar tools
- Demonstrate strong practical expertise in developing GenAI-based applications and deep understanding of Retrieval-Augmented Generation (RAG) systems.
- Experience building large-scale distributed systems
— especially those that process real-time data, enforce policies, or govern access at scale. - Background in AI or agentic systems
— familiarity with frameworks like
LangChain, AutoGen, or CrewAI
, and a deep understanding of how agents orchestrate tools and APIs. - Proficiency in cloud-native architectures
— including container orchestration (Kubernetes), microservices, and modern observability stacks. - Knowledge of enterprise identity, access, and security systems
— e.g.,
Okta, Entra, OAuth, MDMs, EDRs, and data governance platforms. - Experience with modern AI and LLM infrastructure
— including
model gateways
(like LiteLLM or MCP), fine-tuning, inference optimization, or policy enforcement in AI workloads. - Strong programming skills
in languages like
Go, Python, or Java
, and familiarity with designing APIs and distributed data pipelines. - Interest in AI governance, risk, and compliance
— and curiosity about how to make AI agents safe, observable, and trustworthy in real-world enterprise environments.
Desire to push boundaries
— staying current with the latest research in agent safety, access control, and AI infrastructure design.
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